Examines adversarial vulnerability in data-driven smart grid anomaly detectors. Formulates a feature collusion attack where coordinated minor perturbations across multiple PMU measurement channels evade detection while causing severe misclassification of power system faults.
@inproceedings{ghasemkhani2024isgt,
title = {Feature Collusion Attack on {PMU} Data-Driven Event Classification},
author = {Ghasemkhani, Amir and Haridas, Rutuja Sanjeev and Sajjadi Mohammadabadi, Seyed Mahmoud and Yang, Lei},
booktitle = {2024 IEEE PES Innovative Smart Grid Technologies (ISGT)},
pages = {1--5},
year = {2024},
organization = {IEEE},
doi = {10.1109/ISGT59692.2024.10454123}
}